A Smart Park Digital Management Method and System

Abstract

This invention provides a digital management method and system for smart parks, belonging to the field of park management technology. Specifically, it includes: determining a lighting control scheme for the target area based on anomaly duration intervals and lighting brightness thresholds at different locations within the target area; determining whether the lighting control reliability of the target area meets requirements based on the number of lighting control schemes in the target area and the idle data of streetlights in different lighting control schemes; and selecting streetlights in the lighting control schemes as target control streetlights based on the impact of target control streetlight failures on the lighting control schemes of streetlights in the target area. This improves the reliability of road lighting processing in smart parks.

Description

Technical Field

[0001] This invention belongs to the field of park management technology, and in particular relates to a digital management method and system for smart parks. Background Technology

[0002] The establishment of industrial parks has enabled intensive management of enterprises. However, at the same time, the large number of enterprises in industrial parks has increased the difficulty of park management. This makes it an urgent technical problem to solve how to combine digital means to achieve park management.

[0003] To achieve digital management of the park, the invention patent application CN202111530520.X, "An Energy-Saving Lighting System Based on Smart Park," constructs a central control module to manage streetlights in multiple areas, ensuring unified management of streetlights throughout the park and improving the park's energy-saving effect. However, the following technical problems exist:

[0004] As the duration of a single use of streetlights increases, the heat generated by the power supply components inevitably increases, which will have a certain impact on the lifespan and reliability of the streetlights. Therefore, how to use the detection results of ambient brightness to control and manage the streetlights in the park and avoid excessively long single-use times for individual streetlights has become an urgent technical problem to be solved.

[0005] To address the aforementioned technical issues, this application provides a digital management method and system for smart parks. Summary of the Invention

[0006] To achieve the objectives of this invention, the following technical solution is adopted:

[0007] Specifically, in the first aspect, this application provides a digital management method for smart parks, which specifically includes:

[0008] S1 uses the analysis results of pedestrian traffic in the target area of ​​the smart park during different lighting periods to determine whether the impact of street light malfunctions in the target area meets the requirements, and then proceeds to the next step.

[0009] S2 uses historical fault data from different streetlights within the smart park, within different single-use duration intervals, to determine the abnormal duration intervals within those single-use duration intervals.

[0010] S3 determines the lighting control scheme for the target area based on the abnormal duration interval and the lighting brightness threshold at different locations in the target area. When the lighting control reliability of the target area meets the requirements, based on the number of lighting control schemes in the target area and the idle data of streetlights in different lighting control schemes, the streetlights in the lighting control schemes are used as target control streetlights.

[0011] S4 determines whether the target control street lamp needs to access the remote fault diagnosis module on the park control platform according to the influence of the target control street lamp failure on the lighting control scheme of the street lamp in the target area.

[0012] The beneficial effects of the present application are:

[0013] The analysis result of the person flow of the target area in different lighting periods is used to determine whether the influence of the street lamp failure of the target area meets the requirements, so as to realize the evaluation of the difference between the person flow in different lighting periods and the difference in the reliability of the street lamp, and generate differentiated remote fault diagnosis processing measures for the area with more person flow, thereby ensuring the real-time and reliability of the street lamp failure diagnosis in the target area with more person flow.

[0014] According to the influence of the target control street lamp failure on the lighting control scheme of the street lamp in the target area, it is determined whether the target control street lamp needs to access the remote fault diagnosis module on the park control platform, not only considering whether a new lighting control scheme meeting the requirements can be formed after the target control street lamp is damaged, but also considering the difference in use reliability caused by the difference in single use time of different street lamps in the new lighting control scheme meeting the requirements, thereby realizing the determination of different remote fault diagnosis processing measures for the target control street lamp from multiple angles.

[0015] The further technical scheme is that the target area is divided according to unit area.

[0016] The further technical scheme is that the lighting period is a period in which the ambient brightness in the target area is less than the preset ambient brightness.

[0017] The further technical scheme is that the analysis result of the person flow includes the person flow of the target area in the lighting period on different dates.

[0018] The further technical scheme is that the single use time interval is the cumulative time length of the uninterrupted operation of the street lamp after being turned on.

[0019] The further technical scheme is that the determination that the influence of the street lamp failure of the target area meets the requirements specifically includes:

[0020] The analysis result of the person flow of the target area in different lighting periods is used to determine the person flow in the lighting period on different dates.

[0021] According to the average value of the person flow in the lighting period on different dates, the average person flow in different lighting periods is determined.

[0022] Determine whether the street lamp fault influence situation of the target area meets the requirement based on the average human flow of different lighting time periods.

[0023] Further technical solutions are that when the average value of the average human flow of different lighting time periods is greater than a preset human flow threshold value, it is determined that the street lamp fault influence situation of the target area does not meet the requirement.

[0024] Further technical solutions are that when the street lamp fault influence situation of the target area does not meet the requirement, all street lamps of the target area are connected to a park control platform for remote fault diagnosis module.

[0025] Further technical solutions are that determining whether the target control street lamp needs access processing of the remote fault diagnosis module of the park control platform, specifically comprising:

[0026] Based on the abnormal duration interval and the lighting brightness threshold value of different positions in the target area, determining a lighting control scheme of the target area when the target control street lamp fails, and taking it as a variable control scheme when the target control street lamp fails;

[0027] Based on the number of variable control schemes, determining whether the target control street lamp needs access processing of the remote fault diagnosis module of the park control platform.

[0028] Further technical solutions are that when the number of variable control schemes is greater than a preset scheme number threshold value, it is determined that the target control street lamp does not need access processing of the remote fault diagnosis module of the park control platform.

[0029] Further technical solutions are that when the target control street lamp does not need access processing of the remote fault diagnosis module of the park control platform, the fault identification processing of the target street lamp is performed in the form of artificial inspection.

[0030] Further technical solutions are that when the street lamp does not belong to the target control street lamp, the fault identification processing of the target street lamp is performed in the form of artificial inspection.

[0031] In a second aspect, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the above-mentioned intelligent park digital management method.

[0032] Other features and advantages will be set forth in the following description of the application, and in part will be apparent from the description and the drawings, or can be learned by practice of the application as claimed in the claims.

[0033] In order to make the above objectives, features and advantages of the present application more apparent, the following preferred embodiments are specifically described in detail below, together with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0034] The above and other features and advantages of the present application will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0035] Figure 1 is a flowchart of a smart park digital management method;

[0036] Figure 2 is a flowchart of determining that the fault influence of the street lamp of the target area meets the requirements;

[0037] Figure 3 is a flowchart of a method for determining an abnormal time interval in a single use time interval;

[0038] Figure 4 is a flowchart of a method for determining a lighting control scheme of a target area;

[0039] Figure 5 is a framework diagram of a master control smart park digital management unit. DETAILED DESCRIPTION

[0040] In order to enable the person skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be described clearly and completely below in conjunction with the drawings in the specification. Obviously, the described embodiments are only some of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by the person skilled in the art without creative labor should be within the scope of protection of the specification.

[0041] In the present application, the maximum value of the single use time length of different street lamps is fully considered, so that the lighting control scheme of the street lamp is generated specifically, and the service life of the street lamp is improved.

[0042] Embodiment 1

[0043] As shown in Figure 1 The present application provides a smart park digital management method, specifically comprising:

[0044] S1, with the analysis result of the passenger flow of the target area in the smart park in different lighting periods, when the fault influence of the street lamp of the target area meets the requirements, go to the next step;

[0045] S2 determines an abnormal time interval in the single use time interval based on the historical fault data of the different street lamps in the smart park in different single use time intervals;

[0046] S3 determines a lighting control scheme of the target area based on the abnormal time interval and the lighting brightness threshold of different positions in the target area, and determines the target control street lamp in the lighting control scheme when the lighting control reliability of the target area meets the requirement based on the number of the lighting control scheme in the target area and the idle data of the street lamp in different lighting control schemes;

[0047] S4 determines whether the target control street lamp needs to be accessed by the remote fault diagnosis module of the park control platform according to the influence of the target control street lamp on the lighting control scheme of the street lamp in the target area when the target control street lamp fails.

[0048] Further, the target area is divided according to unit area.

[0049] Specifically, the lighting period is a period in which the ambient brightness in the target area is less than the preset ambient brightness.

[0050] It can be understood that the analysis result of the passenger flow includes the passenger flow of the target area in the lighting period in different dates.

[0051] Further, the single use time interval is the cumulative time length of the uninterrupted operation of the street lamp after being turned on.

[0052] Specifically, as shown in Figure 2 The determination of the street lamp fault influence condition of the target area meeting the requirement specifically includes:

[0053] The analysis result of the passenger flow of the target area in different lighting periods is determined to determine the passenger flow in the lighting period in different dates.

[0054] The average passenger flow in different lighting periods is determined according to the average value of the passenger flow in the lighting period in different dates.

[0055] Based on the average passenger flow in different lighting periods, it is determined whether the street lamp fault influence condition of the target area meets the requirement.

[0056] It should be noted that when the average value of the average passenger flow in different lighting periods is greater than the preset passenger flow threshold, it is determined that the street lamp fault influence condition of the target area does not meet the requirement.

[0057] It can be understood that when the street lamp fault influence condition of the target area does not meet the requirement, all street lamps of the target area are connected to the park control platform for remote fault diagnosis module.

[0058] Optionally, the determination that the street lamp fault influence condition of the target area meets the requirement specifically includes:

[0059] Determining the people flow in the lighting period in different dates according to the analysis result of the people flow of the target area in different lighting periods;

[0060] Determining the average people flow of different lighting periods according to the average value of the people flow of the lighting period in different dates;

[0061] Taking the lighting period with the average people flow greater than the preset flow threshold as a screening lighting period, and determining whether the street lamp fault influence condition of the target area meets the requirement based on the proportion of the number of the screening lighting period in the lighting period.

[0062] Further, when the proportion of the number of the screening lighting period in the lighting period is greater than the preset proportion of the number of screening periods, it is determined that the street lamp fault influence condition of the target area does not meet the requirement.

[0063] Optionally, the determination that the street lamp fault influence condition of the target area meets the requirement specifically includes:

[0064] Determining the total flow in the lighting period in different dates according to the analysis result of the people flow of the target area in different lighting periods, and when the total flow in the lighting period in different dates is all less than the preset people flow threshold, it is determined that the street lamp fault influence condition of the target area meets the requirement;

[0065] When there is a date in which the total flow in the lighting period is not less than the preset people flow threshold:

[0066] Taking the date in which the total flow in the lighting period is not less than the preset people flow threshold as a flow busy date, and when the proportion of the number of the flow busy date is greater than the preset proportion of the number of busy dates, it is determined that the street lamp fault influence condition of the target area does not meet the requirement;

[0067] When the proportion of the number of the flow busy date is not greater than the preset proportion of the number of busy dates:

[0068] Determining the average people flow of different lighting periods according to the average value of the people flow of the lighting period in different dates, and when the average people flow of different lighting periods is all less than the preset flow threshold, it is determined that the street lamp fault influence condition of the target area meets the requirement;

[0069] When there is a lighting period with an average human flow not less than a preset flow threshold value:

[0070] The lighting period with an average human flow greater than the preset flow threshold value is regarded as a screening lighting period. When the proportion of the number of the screening lighting period in the lighting period is greater than a preset screening period proportion, it is determined that the street lamp failure influence condition of the target area does not meet the requirement.

[0071] When the proportion of the number of the screening lighting period in the lighting period is not greater than the preset screening period proportion:

[0072] On the basis of the human flow of different lighting periods on different dates and the average human flow of different dates, the human flow busy coefficient of different lighting periods is determined. When the average value of the human flow busy coefficient of different lighting periods does not meet the requirement, it is determined that the street lamp failure influence condition of the target area does not meet the requirement.

[0073] When the average value of the human flow busy coefficient of different lighting periods meets the requirement:

[0074] The regional flow busy coefficient of the target area is determined according to the human flow busy coefficient of different lighting periods, and whether the street lamp failure influence condition of the target area meets the requirement is determined based on the regional flow busy coefficient.

[0075] Specifically, when the regional flow busy coefficient is greater than a preset busy coefficient threshold value, it is determined that the street lamp failure influence condition of the target area does not meet the requirement.

[0076] Specifically, as shown in Figure 3 The method for determining the abnormal time length interval in the single use time length interval is:

[0077] The historical failure times of different street lamps in different unit use time length intervals are determined based on the historical failure data in different unit use time length intervals.

[0078] The determination of street lamps with historical failure times greater than a preset failure times threshold value is performed based on the historical failure times of different street lamps, and the street lamps are regarded as failure risk street lamps.

[0079] Whether the single use time length interval is an abnormal time length interval is determined according to the number of failure risk street lamps in the single use time length interval.

[0080] Further, the abnormal time length interval is a single use time length interval with the shortest single use time length and the number of failure risk street lamps greater than a preset risk street lamp number threshold value.

[0081] It should be noted that the lighting brightness threshold value is a preset lighting brightness required by the smart park.

[0082] It can be understood that, as Figure 4 indicated, the method for determining the lighting control scheme of the target area is:

[0083] Taking the single running time length of the street lamp in the target area being less than the abnormal time length interval as the time length constraint condition, and taking the lighting brightness threshold value of different positions in the target area as the basis, a brightness constraint condition is generated;

[0084] The street lamps in the target area are combined to form a plurality of street lamp combinations, and a plurality of schemes are generated according to the lighting period of different street lamps in different street lamp combinations as variables;

[0085] Taking that the scheme can meet the time length constraint condition and the brightness constraint condition as the basis, a lighting control scheme of the target area is generated.

[0086] Further, it is determined that the lighting control reliability of the target area meets the requirements, specifically including:

[0087] The idle quantity of the street lamps in different lighting control schemes in the target area is determined according to the idle data of the street lamps in different lighting control schemes in the target area;

[0088] According to the number of lighting control schemes and the idle quantity of street lamps in different lighting control schemes, the sum of the idle quantities of street lamps in different lighting control schemes is determined, and it is taken as the idle street lamp quantity;

[0089] Based on the idle street lamp quantity, it is determined whether the lighting control reliability of the target area meets the requirements.

[0090] It should be noted that when the idle street lamp quantity is greater than the preset idle street lamp quantity threshold value, it is determined that the lighting control reliability of the target area meets the requirements.

[0091] Specifically, when the lighting control reliability of the target area does not meet the requirements, all street lamps in the target area are connected to the park control platform for remote fault diagnosis module.

[0092] Optionally, it is determined that the lighting control reliability of the target area meets the requirements, specifically including:

[0093] The idle quantity of the street lamps in different lighting control schemes in the target area is determined according to the idle data of the street lamps in different lighting control schemes in the target area;

[0094] The lighting control scheme in which the street lamp is idle is taken as the idle control scheme;

[0095] Determine whether the lighting control reliability of the target area meets the requirement based on the number of the lighting control schemes and the number of the idle control schemes.

[0096] Further, determine whether the lighting control reliability of the target area meets the requirement based on the number of the lighting control schemes and the number of the idle control schemes, specifically including:

[0097] Determine the control reliability coefficient based on the average of the number of the lighting control schemes and the number of the idle control schemes, and when the control reliability coefficient is greater than a preset reliability coefficient threshold, determine that the lighting control reliability of the target area meets the requirement.

[0098] It should be noted that the idle data of the street lamp in the lighting control scheme is the street lamp not used in the lighting control scheme.

[0099] Optionally, determine that the lighting control reliability of the target area meets the requirement, specifically including:

[0100] Obtain the number of the lighting control schemes of the target area, and when the number of the lighting control schemes is less than a preset control scheme number, determine that the lighting control reliability of the target area does not meet the requirement;

[0101] When the number of the lighting control schemes is not less than the preset control scheme number:

[0102] When the number of the lighting control schemes is within the preset control scheme number interval, determine that the lighting control reliability of the target area meets the requirement;

[0103] When the number of the lighting control schemes is within the preset control scheme number interval:

[0104] Determine that the lighting control reliability of the target area meets the requirement based on the idle data of the street lamp in different lighting control schemes in the target area, and when there is idle of the street lamp in different lighting control schemes in the target area, determine that the lighting control reliability of the target area meets the requirement;

[0105] When there is a lighting control scheme without idle of the street lamp in the target area:

[0106] When there is no idle of the street lamp in different lighting control schemes in the target area, determine that the lighting control reliability of the target area meets the requirement;

[0107] When there is a lighting control scheme with idle of the street lamp in the target area:

[0108] The idle lighting control scheme existing the street lamp is taken as an idle control scheme, when the number of the idle control scheme is greater than a preset idle control scheme number threshold, it is determined that the lighting control reliability of the target area meets the requirement;

[0109] When the number of the idle control scheme is not greater than the preset idle control scheme number threshold:

[0110] The idle number of the street lamp in different lighting control schemes is taken as a basis to determine the street lamp control reliability coefficient of different lighting control schemes, when the number of the lighting control scheme whose street lamp control reliability coefficient is greater than a preset reliability coefficient threshold meets the requirement, it is determined that the lighting control reliability of the target area meets the requirement;

[0111] When the number of the lighting control scheme whose street lamp control reliability coefficient is greater than the preset reliability coefficient threshold does not meet the requirement

[0112] The control reliability coefficient is determined based on the street lamp control reliability coefficient of different lighting control schemes, and whether the lighting control reliability of the target area meets the requirement is determined from the control reliability coefficient.

[0113] Further, it is determined whether the target control street lamp needs to access the remote fault diagnosis module on the park control platform, specifically including:

[0114] According to the target control street lamp failure, the lighting control scheme of the target area when the target control street lamp fails is determined based on the abnormal duration interval and the lighting brightness threshold of different positions in the target area, and it is taken as a variable control scheme;

[0115] Based on the number of the variable control scheme, it is determined whether the target control street lamp needs to access the remote fault diagnosis module on the park control platform.

[0116] Specifically, when the number of the variable control scheme is greater than a preset scheme number threshold, it is determined that the target control street lamp does not need to access the remote fault diagnosis module on the park control platform.

[0117] It should be noted that when the target control street lamp does not need to access the remote fault diagnosis module on the park control platform, the fault identification processing of the target street lamp is performed by artificial inspection.

[0118] Further, when the street lamp does not belong to the target control street lamp, the fault identification processing of the target street lamp is performed by artificial inspection.

[0119] Optionally, it is determined whether the target control street lamp needs to access the remote fault diagnosis module on the park control platform, specifically including:

[0120] S41 determining, according to the target control street lamp being out of order, the lighting control scheme of the target region when the target control street lamp is out of order based on the abnormal duration interval and the lighting brightness threshold of different positions in the target region, and taking the lighting control scheme as a change control scheme, determining the street lamp connection coefficient according to the similar situation of the street lamp in different change control schemes and the number of change control schemes;

[0121] S42 determining the use reliability coefficient of different change control schemes with the single use duration of different street lamps in different change control schemes and the time interval between different single use durations;

[0122] S43 determining the failure influence factor of the target control street lamp based on the street lamp management coefficient and the use reliability coefficient of different change control schemes, and determining whether the target control street lamp needs to access the remote fault diagnosis module of the park control platform by using the failure influence factor.

[0123] Optionally, when the failure influence factor is greater than a preset failure influence factor threshold, it is determined that the target control street lamp does not need to access the remote fault diagnosis module of the park control platform.

[0124] Optionally, the step S41 includes the following contents:

[0125] S411 determining, according to the target control street lamp being out of order, the lighting control scheme of the target region when the target control street lamp is out of order based on the abnormal duration interval and the lighting brightness threshold of different positions in the target region, and taking the lighting control scheme as a change control scheme, when the number of change control schemes does not meet the requirement, determining that the target control street lamp needs to access the remote fault diagnosis module of the park control platform, and when the number of change control schemes meets the requirement, turning to step S412;

[0126] S412 determining, according to the similar situation of the street lamp in different change control schemes, that the target control street lamp needs to access the remote fault diagnosis module of the park control platform when the similar number of street lamps in different change control schemes is less than a preset street lamp number threshold, and turning to step S413 when the similar number of street lamps in different change control schemes is not less than the preset street lamp number threshold;

[0127] S413. The variable control scheme with a street light similarity number less than the preset street light number threshold with other variable control schemes is regarded as an independent control scheme. When the number of independent control schemes meets the requirements, it is determined that the target controlled street light does not need to be accessed by the remote fault diagnosis module on the park control platform. When the number of independent control schemes does not meet the requirements, proceed to step S414.

[0128] S414 determines the street light correlation coefficient based on the similarity of street lights in different variable control schemes and the number of variable control schemes. When the street light correlation coefficient is less than the preset correlation coefficient threshold, it is determined that the target controlled street light does not need to be accessed by the remote fault diagnosis module on the park control platform. When the street light correlation coefficient is not less than the preset correlation coefficient threshold, proceed to step S42.

[0129] Optionally, step S42 above includes the following:

[0130] S421 If, based on the single usage duration of different streetlights in different variable control schemes, there is a variable control scheme in which the single usage duration is less than the preset usage duration threshold, then proceed to step S422; if there is no variable control scheme in which the single usage duration is less than the preset usage duration threshold, then proceed to step S423.

[0131] S422 When the number of variable control schemes whose single usage duration is less than the preset usage duration threshold meets the requirements, it is determined that the target controlled street light does not need to be connected to the remote fault diagnosis module on the park control platform. When the number of variable control schemes whose single usage duration is less than the preset usage duration threshold does not meet the requirements, proceed to step S423.

[0132] S423 determines the reliability coefficient of different variable control schemes by using the single usage duration of different streetlights in different variable control schemes and the time interval between different single usage durations. When the average value of the reliability coefficients of different variable control schemes meets the requirements, it is determined that the target controlled streetlight does not need to be connected to the remote fault diagnosis module on the park control platform. When the average value of the reliability coefficients of different variable control schemes does not meet the requirements, proceed to step S43.

[0133] Example 2

[0134] Secondly, such as Figure 5 As shown, the present invention provides a computer system, including: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described smart park digital management method when running the computer program.

[0135] Each of the various embodiments in this specification are described in a progressive manner, and the same or similar parts among the various embodiments can be mutually referred to, and each of the various embodiments focuses on the differences from other embodiments. In particular, for the device, apparatus, and non-transitory computer storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiments.

[0136] The above describes specific embodiments of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the acts or steps recited in the claims can be performed in a different order than the order in which they are recited and still achieve desirable results. In addition, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order, to achieve the desired results. In some implementations, multitasking and parallel processing can be advantageous or necessary.

[0137] The above only describes one or more embodiments of the present specification and is not intended to limit the present specification. One or more embodiments of the present specification can have various modifications and changes for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of one or more embodiments of the present specification shall be included in the scope of the claims of the present specification.

Claims

1. A method for digital management of a smart park, characterized in that, Specifically comprising: With the analysis result of the people flow of the target area in the smart park in different lighting time periods, it is determined whether the lighting control reliability of the target area meets the requirements, and if so, the next step is entered; With the historical fault data of different street lamps in the smart park in different single use time intervals, an abnormal time interval in the single use time interval is determined; Based on the abnormal time interval and the lighting brightness threshold of different positions in the target area, a lighting control scheme of the target area is determined, and when the lighting control reliability of the target area meets the requirements, the street lamps in the lighting control scheme are taken as target control street lamps; According to the influence of the target control street lamp on the lighting control scheme of the street lamps in the target area when the target control street lamp fails, it is determined whether the target control street lamp needs to be accessed to the remote fault diagnosis module of the park control platform for processing; Determining whether the target control street lamp needs to be accessed to the remote fault diagnosis module of the park control platform for processing specifically comprises: According to the abnormal time interval and the lighting brightness threshold of different positions in the target area, the lighting control scheme of the target area when the target control street lamp fails is determined based on the abnormal time interval and the lighting brightness threshold of different positions in the target area, and is taken as a variable control scheme; Based on the number of variable control schemes, it is determined whether the target control street lamp needs to be accessed to the remote fault diagnosis module of the park control platform for processing; When the number of variable control schemes is greater than a preset scheme number threshold, it is determined that the target control street lamp does not need to be accessed to the remote fault diagnosis module of the park control platform for processing. 2.The smart park digital management method of claim 1, wherein, The target area is divided according to unit area. 3.The smart park digitization management method of claim 1, wherein, The lighting time period is a period when the ambient light brightness in the target area is less than a preset ambient light brightness. 4.The smart park digitization management method of claim 1, wherein, Determining that the influence of the street lamp fault of the target area meets the requirements specifically comprises: With the analysis result of the people flow of the target area in the smart park in different lighting time periods, it is determined whether the lighting control reliability of the target area meets the requirements, and if so, the next step is entered; According to the average value of the people flow in the lighting time period in different dates, the average people flow in different lighting time periods is determined; Based on the average people flow in different lighting time periods, it is determined whether the influence of the street lamp fault of the target area meets the requirements. 5.The smart park digitization management method of claim 4, wherein, When the influence of the street lamp fault of the target area does not meet the requirements, all street lamps of the target area are accessed to the remote fault diagnosis module of the park control platform. 6.The smart park digitization management method of claim 1, wherein, When the target control street lamp does not need to be accessed to the remote fault diagnosis module of the park control platform for processing, the fault identification processing of the target control street lamp is performed in the form of artificial inspection. 7.The smart park digitization management method of claim 1, wherein, When the street lamp does not belong to the target control street lamp, the fault identification processing of the target control street lamp is performed in the form of artificial inspection.

8. A computer system comprising: A memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, characterized in that the processor executes the computer program to implement the method of claim 1-7.

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